Research Fellow (Food Science & Technology)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 20,000 - 60,000; Full time

Job summary

A leading university in Singapore is seeking a candidate for a Clinical Nutrition Research project. The successful applicant will manage human clinical trials, analyze various samples and data, and prepare manuscripts and grant proposals. Ideal candidates will possess a PhD in Nutritional Science and have experience in clinical nutrition, AI, and data analysis, along with strong analytical and leadership skills.

Qualifications

• Degree or PhD in a relevant field.
• Background in nutritional science or food science.
• Experience in clinical trials and data analysis.

Responsibilities

• Coordinate clinical trials and ethics preparations.
• Analyze biological samples and related data.
• Prepare manuscripts and grant proposals.
• Assist in grant proposal writing and mentorship.

Skills

Clinical nutrition expertise

Data analysis using AI

Leadership skills

Organizational skills

Scientific writing

Education

Degree/PhD in Nutritional Science or Food Science

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Kim Jung Eun on Clinical nutrition research project and data analysis using AI under a project on Bezos Centre for Sustainable Protein at NUS.

The main responsibilities of the position include:

1. Running human clinical trials (i.e. Coordinate all clinical visits and preparation of human ethics)
2. Analysis of collected samples (i.e. blood, urine and feces)
3. Analysis of collected data
4. Analysis of existing data using AI
5. Manuscripts preparation
6. Provide mentorship
7. Grant proposal writing

Qualifications

1. Degree / PhD
2. Nutritional science and/or food science background
3. Having clinical nutrition, biology and/or human physiology background is preferred
4. Having AI background is preferred
5. Having good biological sample analytical skill
6. Having good scientific writing skill
7. Having good leadership
8. Having good organization and time management skill